| Automated assessment of psychiatric disorders using speech: A systematic review DM Low, KH Bentley, SS Ghosh Laryngoscope Investigative Otolaryngology 5 (1), 96-116, 2020 | 444 | 2020 |
| Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit during COVID-19: Observational Study DM Low, R Laurie, T Talkar, J Torous, G Cecchi, SS Ghosh Journal of Medical Internet Research 22 (10), 2020 | 353 | 2020 |
| Sooner than you think: A very early affective reaction to the COVID-19 pandemic and quarantine in Argentina F Torrente, A Yoris, DM Low, P Lopez, P Bekinschtein, F Manes, ... Journal of affective disorders 282, 495-503, 2021 | 79 | 2021 |
| The right hemisphere’s contribution to discourse processing: A study in temporal lobe epilepsy C Lomlomdjian, CP Múnera, DM Low, V Terpiluk, P Solís, V Abusamra, ... Brain and Language 171, 31-41, 2017 | 41 | 2017 |
| Psychological symptoms, mental fatigue and behavioural adherence after 72 continuous days of strict lockdown during the COVID-19 pandemic in Argentina F Torrente, A Yoris, D Low, P Lopez, P Bekinschtein, GH Vázquez, ... BJPsych open 8 (1), e10, 2022 | 36* | 2022 |
| Deep neural networks reveal topic-level representations of sentences in medial prefrontal cortex, lateral anterior temporal lobe, precuneus, and angular gyrus DJ Acunzo, DM Low, SL Fairhall NeuroImage 251, 119005, 2022 | 27 | 2022 |
| Cognitive Skills Involved in Reading Comprehension of Adolescents with Low Educational Opportunities V Abusamra, M Difalcis, G Martínez, DM Low, J Formoso Languages 5 (3), 34, 2020 | 24 | 2020 |
| Higher-order Comparisons of Sentence Encoder Representations M Abdou, A Kulmizev, F Hill, DM Low, A Sogaard EMNLP, 5838-5845, 2019 | 21 | 2019 |
| Artificial intelligence for detecting covid-19 with the aid of human cough, breathing and speech signals: Scoping review M Husain, A Simpkin, C Gibbons, T Talkar, D Low, P Bonato, SS Ghosh, ... IEEE Open Journal of Engineering in Medicine and Biology 3, 235-241, 2022 | 11 | 2022 |
| Identifying bias in models that detect vocal fold paralysis from audio recordings using explainable machine learning and clinician ratings DM Low, V Rao, G Randolph, PC Song, SS Ghosh PLOS Digital Health 3 (5), e0000516, 2024 | 10* | 2024 |
| It’s quality and quantity: the effect of the amount of comments on online suicidal posts DM Low, KL Zuromski, D Kessler, SS Ghosh, M Nock, W Dempsey Proceedings of the First Workshop on Causal Inference and NLP at EMNLP, 95-103, 2021 | 7 | 2021 |
| Risk perception, but also political orientation, modulate behavioral response to COVID-19: a randomized survey experiment F Torrente, DM Low, A Yoris Frontiers in Psychology 13, 2022 | 5 | 2022 |
| Identifying medications underlying communication atypicalities in psychotic and affective disorders: a pharmacovigilance study within the FDA Adverse Event Reporting System M Fusaroli, A Simonsen, SA Borrie, DM Low, A Parola, E Raschi, ... Journal of Speech, Language, and Hearing Research 66 (9), 3242-3259, 2023 | 4* | 2023 |
| Dissociating COVID-19 from other respiratory infections based on acoustic, motor coordination, and phonemic patterns T Talkar, DM Low, AJ Simpkin, S Ghosh, DT O’Keeffe, TF Quatieri Scientific Reports 13 (1), 1567, 2023 | 3 | 2023 |
| Detecting suicide risk among US Servicemembers and Veterans: A deep learning approach using social media data KL Zuromski, DM Low, N Jones, R Kuzma, DT Kessler, L Zhou, ... Psychological Medicine, 2024 | 1 | 2024 |
| Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic Features S Dixit, DM Low, G Elbanna, F Catania, SS Ghosh arXiv preprint arXiv:2409.09511, 2024 | | 2024 |
| Using Generative AI to create lexicons for interpretable text models with high content validity DM Low, O Rankin, DDL Coppersmith, KH Bentley, MK Nock, SS Ghosh PsyArXiv, 2024 | | 2024 |
| Speech and text psychometrics: Identifying suicide risk factors with large language models and acoustic networks DM Low Harvard University, 2024 | | 2024 |
Satrajit GhoshPrincipal Research Scientist, MIT; Assistant Professor, HMSmit.edu의 이메일 확인됨